Research Technician

Research technician to join the Big Data in Health Group at the Primary Care Research Centre, working across the NIHR CNC for methodologies.

About the NIHR CNC

A Multiple Long-Term Conditions Cross-NIHR Collaboration (MLTC CNC), has been established to bring together the NIHR’s translational, applied and policy research infrastructure to respond to the NIHR Strategic Framework for MLTC Research; and work together to tackle the MLTC research questions that could not be achieved without this cross-disciplinary collaborative endeavour. This Collaboration will be inclusive of all parts of NIHR, including the NIHR Infrastructure (Biomedical Research Centres, Applied Research Collaborations etc.), Schools and Units.

We are recruiting a part time research technician to join ‘The Methodologies Workstream’ within the CNC. This workstream is led by Associate Professor Hajira Dambha-Miller (University of Southampton) and Professor Colin McCowan (University of St. Andrews). This workstream aims to identify the key challenges around research methodologies (including data science, recruitment, and analysis methods) to treat and prevent MLTC and addressing the consequences of MLTC. 

The position will be based within The Big Data in Health Group (BDiH) at the University of Southampton, supervised by Dr Hajira Dambha-Miller. However, the role will primarily be remote.

About the role

The Research Technician will have an understanding of the MLTC field, with strong organisational and administrative skills. They will have good writing skills, work independently and contribute to drafting high-quality academic research papers and convey methodological results through presentations using interactive visualisations. The post is funded for 6 months initially, with the potential for extension depending on progress and funding availability.                                                                                                           

About You:

We are seeking applicants with understanding of MLTC and methodologies for health research. The ideal candidate will have:

• Strong organisational and administrative skills.
• Excellent written and verbal communication skills
• An ability to contribute to the drafting research papers and presenting findings through clear and effective visualisations.
• Familiarity with the challenges of research in the context of MLTC and complex health data. 

Experience and qualifications in research methodologies, data science, statistics, epidemiology, or related fields are highly desirable. 

Application Details

If you meet the qualifications for this position, we invite you to apply and become part of an innovative and dynamic research group. We aim to create a working environment where you are valued, included, and supported.

Applications will be considered from candidates with relevant experience.

For an informal discussion about the post, please contact Associate Professor Hajira Dambha-Miller at: H.Dambha-Miller@soton.ac.uk.

Further details:

As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.

This role does not qualify for Skilled Worker Visa sponsorship. To explore alternative UK visa options, see gov.uk.

Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.

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